Tensorboard

Features

- Some performance improvements to line charts (3524)
- Performance improvements in the Text plugin due to batch HTML
sanitization (3529)
- Performance improvements in backend markdown cleaning for tag
rendering (3599)
- CSS/layout performance optimization by applying layout/layer bound where
possible (3642)
- The `tensorboard dev list` subcommand now reports the total size of stored
tensors (used as the backing storage type for Histograms) (3652)

TensorBoard.dev updates

- TensorBoard.dev now supports the Histograms plugin, for experiments
uploaded starting from this release
- The `tensorboard dev upload` subcommand now sends the histograms, when
available, so that it can be rendered via the Histograms plugin on
TensorBoard.dev
- This release may support additional plugins in the future, once those plugins
are enabled in the TensorBoard.dev service

Breaking changes

- The experimental and legacy SQLite support (via the `--db_import` and `--db`
flags) is removed to ease maintenance (3539)

TensorBoard.dev updates

- TensorBoard.dev now renders model graphs, for experiments uploaded starting
from this release.
- The `tensorboard dev upload` subcommand now sends the model graph, when
available, so that it can be rendered via the Graphs plugin on
TensorBoard.dev.
- Large node attribute values (which would not be rendered anyway) are
filtered out before upload.
- Graphs that remain larger than 10MB after filtering are not uploaded.
- The `tensorboard dev upload` command supports a `--plugins` option to
explicitly indicate the desired plugins for which summary data should be
uploaded (3402, 3492)
- The `tensorboard dev list` subcommand now reports the total size of stored
binary objects (e.g., graphs) for each experiment (3464)
- The `tensorboard dev list` subcommand now accepts a `--json` flag to allow
parsing the output more easily (3480)

Features

- Auto-reload is now disabled when the browser tab is not visible, saving
network bandwidth (3483)
- New logo used in the favicon (3406)

Bug fixes

- Plugin loading: When a plugin fails to load, TensorBoard logs an error and
continues, instead of crashing (3484, 3486)
- Eliminated sporadic HTTP 500 errors for XHRs that do markdown rendering (3491)

The 2.2 minor series tracks TensorFlow 2.2.

Features

- Profile plugin now should be pip installed from `tensorboard-plugin-profile`.
The new version works in Chrome 80 and Firefox, has better model insights and
will be more actively maintained.
- Add S3_ENDPOINT variable (3368) - thanks thealphacod3r
- Confirm that the connection to tensorboard works or change to localhost
(2371) - thanks miguelmorin
- Update --reload_multifile_inactive_secs default to 24 hours (3243)
- New `tensorboard dev update-metadata` command allows for updating the name and
description of experiments (3277)
- Improved organization of artifacts downloaded during export from
TensorBoard.dev (3307)

Bug fixes

- Fix for 3282 where the tooltip would remain even after the mouse leaves the
plot (3347)
- Internal fix: HParams summary protos now properly include tensor values (3386)
- Fixes to profiling tutorial (3372 & 3381)

Breaking Changes

- Note: As of TensorBoard 2.1.1+, only Python 3 is supported. There will be no
further releases for Python 2 as per
https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/ifEAGK3aPls

Features

- Uploader: Added ability to upload and modify experiment name and description (3277)

Breaking changes

- As per
https://groups.google.com/a/tensorflow.org/forum/#!topic/developers/ifEAGK3aPls
this patch does not support Python 2. Only Python 3 is supported

The 2.1 minor series tracks TensorFlow 2.1.

Features

- Debugger: added ability to display Tensors as images, with selectable color map and zooming (2729, 2764)
- What-If Tool improvements:
- Added ability to set custom distance function for counterfactuals (2607)
- Added ability to explore counterfactual examples for regression models (2647)
- Added ability to consume arbitrary prediction-time information (2660)
- Added ability to slice performance statistics by numeric features (in addition to categorical features) (2678, 2704).
- Added PR/ROC curves by class for multi-class classification models (2755)
- Improvements for plugin developers:
- Added support for communication between TensorBoard and plugins in iframes (2309, 2703)
- (Experimental) Added library for improved plugin integration (2708)
- Enabled dynamic plugins in TensorBoard within Colab (2798)
- Security improvements, e.g. Content Security Policy configurations
- Reduced overhead of image, audio, and histogram summary writing API methods (2899) - thanks hongjunChoi

Bug fixes

- What-If Tool:
- Fixed sometimes-stuck threshold sliders (2682)
- Fixed PD plots in notebook mode with py3 kernels (2669)
- Fixed info dialogs re. Fairness optimization (2694)
- Scalars dashboard: fixed unreliable data loading over slow network connections (2825)
- Fixed potential corruption when reading files from disk, when TensorFlow is not installed (2791)
- Fixed writing of histogram summaries when using TPUs (2883) - thanks hongjunChoi

TensorBoard.dev updates

- The `tensorboard dev list` subcommand now provides detailed metadata about
each experiment.

Features

- Improvements to [TensorBoard.dev] support:
- New `tensorboard dev list` subcommand lists all experiments uploaded to
TensorBoard.dev (2903)
- In the event of a transient backend issue or permanent breaking change, the
uploader can now gracefully degrade and print a diagnostic (2879)

[TensorBoard.dev]: https://tensorboard.dev/